Author = Mahnaz Ranjkesh
Number of Articles: 2
Prevalence of Breast Composition and Its Association with Parity and Breastfeeding Status in Women Undergoing Screening Mammography

Prevalence of Breast Composition and Its Association with Parity and Breastfeeding Status in Women Undergoing Screening Mammography

Volume 3, Issue 5, Autumn 2024, Pages 46-54

Mahnaz Ranjkesh, Somayeh Shaker

Abstract Introduction: Breast density is a critical factor in mammography, influencing both cancer risk and detection accuracy. This study aims to determine the prevalence of various breast composition types in screening mammography and examine associations with parity and breastfeeding history among patients at Tabriz University of Medical Sciences.

Methods: This cross-sectional study included 350 women who underwent screening mammography. Breast composition was categorized into four types (A, B, C, D), and data on parity and breastfeeding were collected. Statistical analyses evaluated the associations between breast density types and reproductive factors, using a significance threshold of p < 0.05.

Results: The most frequent breast density types were Type B (44%) and Type C (43.4%), followed by Types A (4.6%) and D (8%). Higher density (Type C) was more common in nulliparous women (50%), but the association was not statistically significant (p = 0.061). Breast density was significantly higher among women who had not breastfed, with a p-value of 0.028.

Conclusion: This study suggests a significant association between breastfeeding history and lower breast density, highlighting breastfeeding’s potential impact on breast tissue composition and possibly reducing cancer risk. Although parity did not show a statistically significant relationship with breast density, reproductive history should be considered in mammographic screening and risk assessment.

Comparison of Elastography findings with Color Doppler in Granulomatous Mastitis

Comparison of Elastography findings with Color Doppler in Granulomatous Mastitis

Volume 3, Issue 5, Autumn 2024, Pages 75-85

Mahnaz Ranjkesh

Abstract Background: Granulomatous-mastitis(GM) is a rare, benign, and inflammatory breast disease that often mimics other breast conditions. It is primarily diagnosed through clinical evaluation and imaging modalities such as ultrasound and magnetic resonance imaging (MRI). This study aims to assess the clinical and ultrasonographic characteristics of GM using Gray Scale B Mode ultrasound, Color Doppler ultrasound, Shear Wave Elastography(SWE).

Methods:A total of 40 patients with histologically confirmed GM were enrolled in this study. Clinical data were collected regarding demographic details, symptoms, and signs. Ultrasonographic examinations were performed using Gray Scale B Mode, Color Doppler, and SWE. The Gray Scale B Mode ultrasound assessed lesion morphology, echo patterns, and posterior acoustic features. Color Doppler ultrasound provided information about vascular patterns, while SWE evaluated tissue stiffness and elasticity.

Results:The mean age of the patients was 36.5 ± 5.0 years. The most common clinical presentation was a palpable mass (72.5%), followed by pain (55%) and tenderness (10%). Ultrasonographic findings showed irregular masses in 87.5% of patients, with a mixed echo pattern being the most frequent (82.5%). Color Doppler ultrasound revealed visible vascularity in 95% of the lesions, with peripheral vascularity being predominant (87.5%). SWE measurements indicated moderate stiffness in GM lesions, with a mean stiffness of 17.74 ± 4.13 kPa. A significant positive correlation was found between Doppler ultrasound peak systolic velocity (PSV) and SWE values (Emax, Emin, and Emean), suggesting that highly vascularized areas of GM lesions may exhibit increased stiffness due to fibrosis.

Conclusion: This study highlights the utility of advanced imaging techniques, including Gray Scale B Mode ultrasound, Color Doppler ultrasound, and Shear Wave Elastography, in the evaluation of granulomatous mastitis. The results demonstrate that GM typically presents with irregular masses, mixed echo patterns, and increased vascularity. SWE offers additional insights into the stiffness of the lesion, which may indicate fibrosis.